White Papers

While a technology plus people plus process-focused strategy is essential for scalable clinical AI, arguably the decision with the largest impact on your short-term needs and long-term infrastructure usability is the AI integration method you choose. 

A common myth regarding clinical artificial intelligence is that its financial benefits cannot be proven because there is no payor reimbursement. This is an oversimplified perspective that ignores the intrinsic value of enterprise-wide AI.  

The promise and potential of conversational artificial intelligence (AI) for driving operational efficiencies and improving patient outcomes are real, but AI isn’t the answer to every challenge healthcare organizations face.

With healthcare costs escalating, patients expect the same convenience, personalization, and accessibility seen in other service sectors. Providers must now compete on experience, offering on-demand, anytime, anywhere engagement through digital channels.

Learn how these smart technologies can reduce clinicians’ stress and bring the right treatment to the right patient at the right time in this Stryker executive brief.

Inefficiencies in submitting and paying claims, compounded by legacy IT architectures, result in growing administrative spending and healthcare costs.

A common myth regarding clinical artificial intelligence is that its financial benefits cannot be proven because there is no payor reimbursement. This is an oversimplified perspective that ignores the intrinsic value of enterprise-wide AI.

This eBook explains how an enterprise-wide AI strategy powered by a platform unites care coordination across inpatient and outpatient facilities and enables effective patient data and workflow management.

DSPM and DDR are emerging technologies that many vendors claim to offer. However, the lack of sufficient analyst research and customer testimonials around these technologies makes them hard to evaluate. This guide provides a framework for security leaders to evaluate DSPM and DDR technologies, based on the challenges you are looking to address.

Digital environments have become increasingly complex as employees use external AI engines and large language models to analyze data, which is creating a very stressful situation for security teams. Organizations should embrace the proactive capabilities of DSPM before it’s too late.